PPT-Part 4: Knowledge Graph 1

Knowledge Graph Representing Data Linking Data Searching Data Main Issues A knowledge graph is a special kind of database which stores knowledge in a machinereadable form and provides a means for information to be collected organised shared searched and utilised . Quality . Management. and other stories. . Panos. . Ipeirotis. New York University & . Tagasauris. Amazon Mechanical Turk. patent pending. Tagging. patent pending. But what if . MTurk. workers . and Answer . Inference . for . Telegraphic Entity-seeking . Queries. EMNLP 2014. Mandar Joshi. Uma Sawant. Soumen Chakrabarti. IBM Research. IIT Bombay, Yahoo Labs. IIT Bombay. mandarj90@in.ibm.com. uma@cse.iitb.ac.in. : . Multi-criterion representation . for scene . understanding. Moos . Hueting. ∗ . Aron. . Monszpart. ∗ . Nicolas . Mellado. University College London. https://www.imagestore.ucl.ac.uk/home/pcache/10002/aa/black_ad80e.jpg. . test. . cases. Test. . cases. . generation. . and. . use.. Benchmark. . Graph--. . planted . L. -. partition model. Benchmark. . Graph--. . LFR benchmark graphs. LFR Benchmark. . Graph. Type: Tutorial Paper. Authors: . Arun. . Kejriwal. (Machine Zone Inc.), Sanjeev Kulkarni, . Karthik. . Ramasamy. (Twitter . I. nc.). Presented by: Siddhant Kulkarni. Term: Fall 2015. Motivation. April 26, 2014. Barry Smith. 1. Ontology of graphs. What is a graph made o. f. ?. What is a graph about? . Begin with time-series graphs. 3. 3. Ringo’s. . temperature: June . 4, 1952. Parts . of . Part II. Description Logic . & . Introduction to Protégé. Jan Pettersen Nytun. 1. The Semantic . Web. Knowledge Representation Part II, JPN, UiA. 2. ". The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.“. Denis Krompaß. 1. , Xueyan Jiang. 1. ,Maximilian Nickel. 2. and Volker Tresp. 1,3. 1. Department of Computer Science. Ludwig Maximilian . 2. University, . Oettingenstraße. 67, 80538 Munich, Germany. Image Source: . www.ibm.com/smarterplanet/us/en/ibmwatson. /. Kundan Kumar Siddhant Manocha. MOTIVATION. Image Source: KDD . 2014 Tutorial on Constructing and Mining Web-scale Knowledge Graphs, New York. Slot Filling based on Knowledge Graph and Truth Finding Dian Yu, Haibo Li, Hongzhao Huang and Heng Ji Computer Science Department Rensselaer Polytechnic Institute {yud2 , jih}@rpi.edu November 18, 2013 for. and . from . Open Data . Axel Polleres. Joint . work. . with. : Sebastian Neumaier, Jürgen Umbrich. What is a Knowledge Graph?. What is Open Data?. How do they connect?. 2 applications for using Knowledge Graphs & Linked Data for . Graph. Freebase. Started in 2005 by startup . Metaweb. Goal: create an “open, shared database of the world's knowledge”. Online in 2007. Acquired by Google in 2010. Read-only in 2014. Basis for Google Knowledge Graph. Done By. Bidhov. . Bizar,Anik. . Saha,Sarat. . Chandra,Uday. . Gulghane. E0 270 : Machine Learning. Instructor : . Ambedkar. . Dukkipati. TA : Tony. An ‘intelligent’ way of doing data . cleaning. Graph. Freebase. Started in 2005 by startup . Metaweb. Goal: create an “open, shared database of the world's knowledge”. Freebase online in 2007. Acquired by Google in 2010. Read-only in 2014. Absorbed into Google’s Knowledge Graph.